ACL RD-TEC 1.0 Summarization of P06-2071
Paper Title:
DISCRIMINATING IMAGE SENSES BY CLUSTERING WITH MULTIMODAL FEATURES
DISCRIMINATING IMAGE SENSES BY CLUSTERING WITH MULTIMODAL FEATURES
Authors: Nicolas Loeff and Cecilia Ovesdotter Alm and David A. Forsyth
Primarily assigned technology terms:
- algorithm
- categorization
- classification
- clustering
- clustering algorithm
- computational linguistics
- computing
- cutoff
- detection algorithm
- disambiguation
- feature combination
- feature extraction
- histogram comparison
- image categorization
- image classification
- image-based retrieval
- k-means
- keypoint detection
- keyword retrieval
- learning
- matching
- measuring
- object recognition
- pruning
- query expansion
- querying
- recognition
- retrieval method
- search
- segmentation
- sense discrimination
- spectral clustering
- text representation
- vector quantization
- vector space representation
- weighting
Other assigned terms:
- ambiguity
- anchor
- annotation
- annotation task
- annotator
- approach
- association for computational linguistics
- background knowledge
- case
- cluster
- clusters
- codebook
- compact representation
- corpora
- corpus size
- cosine similarity
- cosine similarity measure
- data set
- data sets
- discourse
- discourse topic
- distance measure
- distribution
- document
- encyclopedia
- entropy
- fact
- feature
- feature space
- feature type
- feature types
- gaussian mixture
- histogram
- human annotator
- implementation
- index
- keyword
- knowledge
- labeling
- linguistics
- manual annotation
- mapping
- markup
- meaning
- meanings
- measure
- measures
- method
- noise
- process
- punctuation
- query
- query term
- search results
- search term
- semantic
- semantic hierarchy
- sense distinctions
- sense granularity
- similarity measure
- stop word list
- taxonomy
- term
- terms
- text
- tokens
- understanding
- vector space
- web documents
- web page
- web site
- word
- word sense
- word senses
